Wireless sensor networks is one of the important parts in modern-day communication that employing low-cost sensor devices with different environmental and physical parameters. The communication path between the base station and sensor nodes are built with the help of an efficient routing protocol. In the past years, the existing protocols met few difficulties in terms of higher computational complexity, poor cluster head selection performance, higher energy consumption, expensive in cluster head selection, scalability management, and uneven load distribution, and so on. In this paper, we proposed BM-BWO with fuzzy logic based HEED protocol (BMBWFL-HEED). In BMBWFL-HEED, we use the combination of the boosted mutation based black widow optimization (BM-BWO) algorithm with HEED protocol to select the higher residual energy. Particularly, the mutation phase of the Black Widow Optimization (BWO) algorithm is improved with the help of direction average strategy (BM-BWO). The fuzzy logic system selects the most relevant and optima cluster heads. Different kinds of experimental analysis, benchmark functions are applied to evaluate the performance of proposed BMBWFL-HEED protocol and it is compared with some existing algorithms like ICFL -HEED, HEED, and ICHB-HEED. In the case of residual energy, a variation of energy consumption and the number of cluster head formation for both homogeneous and heterogeneous environments. The proposed BMBWFL-HEED method demonstrates optimal performance output among all other methods.

无线传感器网络是现代通信中的重要部分之一，它采用具有不同环境和物理参数的低成本传感器设备。基站和传感器节点之间的通信路径是借助有效的路由协议建立的。在过去的几年中，现有协议在计算复杂度高，群集头选择性能差，能耗高，群集头选择昂贵，可伸缩性管理以及负载分配不均等方面遇到了很少的困难。在本文中，我们提出了基于模糊逻辑的HEED协议（BMBWFL-HEED）的BM-BWO。在BMBWFL-HEED中，我们结合使用基于增强突变的黑寡妇优化（BM-BWO）算法和HEED协议来选择较高的剩余能量。尤其，借助方向平均策略（BM-BWO）改善了黑寡妇优化（BWO）算法的突变阶段。模糊逻辑系统选择最相关和最佳的簇头。通过各种实验分析，基准函数来评估所提出的BMBWFL-HEED协议的性能，并将其与ICFL -HEED，HEED和ICHB-HEED等现有算法进行比较。在剩余能量的情况下，对于均质和非均质环境，能耗和簇头形成数量的变化。所提出的BMBWFL-HEED方法在所有其他方法中展示了最佳的性能输出。模糊逻辑系统选择最相关和最佳的簇头。通过各种实验分析，基准函数来评估所提出的BMBWFL-HEED协议的性能，并将其与ICFL -HEED，HEED和ICHB-HEED等现有算法进行比较。在剩余能量的情况下，对于均质和非均质环境，能耗和簇头形成的数量都会发生变化。所提出的BMBWFL-HEED方法在所有其他方法中展示了最佳的性能输出。模糊逻辑系统选择最相关和最佳的簇头。通过各种实验分析，基准函数来评估所提出的BMBWFL-HEED协议的性能，并将其与ICFL -HEED，HEED和ICHB-HEED等现有算法进行比较。在剩余能量的情况下，对于均质和非均质环境，能耗和簇头形成的数量都会发生变化。所提出的BMBWFL-HEED方法在所有其他方法中展示了最佳的性能输出。均质和异质环境的能耗和簇头形成数量的变化。所提出的BMBWFL-HEED方法在所有其他方法中展示了最佳的性能输出。均质和异质环境的能耗和簇头形成数量的变化。所提出的BMBWFL-HEED方法在所有其他方法中展示了最佳的性能输出。